Yue Zhao's starred repositories
annotated_deep_learning_paper_implementations
๐งโ๐ซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
applied-ml
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
paper-reading
ๆทฑๅบฆๅญฆไน ็ปๅ ธใๆฐ่ฎบๆ้ๆฎต็ฒพ่ฏป
LxgwWenKai
An open-source Chinese font derived from Fontworks' Klee One. ไธๆฌพๅผๆบไธญๆๅญไฝ๏ผๅบไบ FONTWORKS ๅบๅๅญไฝ Klee One ่ก็ใ
flash-attention
Fast and memory-efficient exact attention
External-Attention-pytorch
๐ Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.โญโญโญ
ml-engineering
Machine Learning Engineering Open Book
ML-Papers-Explained
Explanation to key concepts in ML
Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
awesome-slam-datasets
A curated list of awesome datasets for SLAM
lightning-thunder
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
PdfGptIndexer
RAG based tool for indexing and searching PDF text data using OpenAI API and FAISS (Facebook AI Similarity Search) index, designed for rapid information retrieval and superior search accuracy.
stable_signature
Please go to https://github.com/facebookresearch/stable_signature